The goal of this project is to create an algorithm that allows a grocery store shopper to identify and price the items in their shopping cart by simply taking an image of their shopping cart. The proposed algorithm successfully detects and identifies multiple grocery items using the Scale Invariant Feature Transform (SIFT) and image matching techniques. Keywords— SIFT; object recognition; image...

Determining the Potential Habitat of Astragalus verus using CART Regression Decision Tree Algorithm (Case Study: West Isfahan Province)

Despite the large overall beneficial effects of endovascular treatment in patients with acute ischemic stroke, severe disability or death still occurs almost one-third patients. These patients, who might not benefit from treatment, have been previously identified traditional logistic regression models, which may oversimplify relations between characteristics and outcome, machine learning techni...

Changes in operating conditions can alter performances of nonlinear processes controlled with a fixed PID algorithm. One way of preventing degradation is to develop a supervised control system. In this paper we present some results about fuzzy gain scheduling of a double PID controller for stabilization of an inverted pendulum on a cart. First, on the basis of the responses obtained with an uns...

This study presents an energy level stabilization algorithm for the pendulum on a cart system with restricted cart track length. The objective is to bring the pendulum to its unstable equilibrium. To do so the energy level of the pendulum is increased or decreased by accelerating the cart in the appropriate direction while keeping within imposed limit positions. To achieve, the equation of moti...

This paper presents a method of producing solutions to difficult problems based on the laws of natural selection. The method, known as the genetic algorithm, is described in detail and applied to the cart pole control problem. The future of genetic algorithms is discussed in terms of potential commercial application. Key Words/Phrases: genetic algorithms, chromosomes, genes, crossover, mutation...

background : breast cancer survival has been analyzed by many standard data mining algorithms. a group of these algorithms belonged to the decision tree category. ability of the decision tree algorithms in terms of visualizing and formulating of hidden patterns among study variables were main reasons to apply an algorithm from the decision tree category in the current study that has not studied...

Purpose: Classification of gene expression helps study disease. However, it faces two obstacles: an imbalanced class and a high dimension. The motivation this is to examine the effectiveness undersampling before feature selection on high-dimensional data with classes.Methods: Least Absolute Shrinkage Selection Operator (Lasso), which can select features, handle modeling. Random (RUS) be used de...